https://github.com/tadayosi/camel-ai-examples

https://github.com/tadayosi/camel-ai-examples

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• Host: GitHub
• URL: https://github.com/tadayosi/camel-ai-examples
• Owner: tadayosi
• License: apache-2.0
• Created: 2024-06-18T09:06:22.000Z (4 months ago)
• Default Branch: dev
• Last Pushed: 2024-08-02T04:48:04.000Z (2 months ago)
• Last Synced: 2024-08-02T05:47:24.175Z (2 months ago)
• Language: Java
• Size: 803 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.adoc
  • License: LICENSE

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README

        
= Welcome to the Apache Camel AI Examples

== Introduction

This repository contains the various examples of AI and machine learning applications

using Apache Camel. The examples are designed to be immediately executable using

Camel JBang. If you want to start a new full-fledged Camel application project based

on one of these examples, you can use the Camel JBang `export` command to generate

a Maven project.

View the individual example READMEs for details.

=== Executing

Run the examples using https://camel.apache.org/manual/camel-jbang.html[Camel JBang]. For instance, when you want to run `djl/ssd.java` example, you can execute the following command:

[source,console]

----

camel run djl/ssd.java

----

== Examples

[width="100%",cols="4,2,4",options="header"]

|===

| Example | Category | Description

| link:image-to-text/README.adoc[Image to Text] | CV | An example for showing how Camel can consume images and route the messages based on the text output classified from the images.

| link:djl/README.adoc[DJL] | CV | A collection of small examples for showing what the Camel DJL component can do.

| link:speech-to-text/README.adoc[Speech to Text] | Audio, NLP | An example for showing how Camel can translate audio speech data to text and then apply sentiment analysis to it for routing the messages.

|===

== Help and contributions

If you hit any problem using Camel or have some feedback,

then please https://camel.apache.org/community/support/[let us know].

We also love contributors,

so https://camel.apache.org/community/contributing/[get involved] :-)

The Camel riders!